I’m trying to plot the marginal effects (conditional effects) that includes the data points using the
marginal_effects() function by setting the argument
points = TRUE. However, the resulting plot only shows one (1) data point where in fact, the data contains 1,504 samples.
Did I misunderstand the example?
The model I am estimating is a simple linear regression with 1 intercept, 3 categorical predictor variables, and 1 continuous predictor variable with a continuous response variable as follows:
fit3 <- brm(formula = wei.log ~ 1 + pre.f + yr.f + gds.f + grp.std,
data = df,
family = gaussian(),
prior = c(set_prior(“normal(0,1)”, class = “b”)),
iter = 10000, chains = 4, control = list(adapt_delta = 0.99, max_treedepth = 12))
I want to plot the marginal effects of grp.std to wei.log along with the data points.
- Operating System: Windows 10
- brms Version: version 2.10.0